TY - JOUR A2 - Touhafi, Abdellah AU - Park, Sungyong AU - Lim, Hyuntaek AU - Tamang, Bibek AU - Jin, Jihuan AU - Lee, Seungjoo AU - Chang, Sukhyun AU - Kim, Yongseong PY - 2019 DA - 2019/12/21 TI - A Study on the Slope Failure Monitoring of a Model Slope by the Application of a Displacement Sensor SP - 7570517 VL - 2019 AB - Many causalities and economic losses are caused by natural disasters, such as landslides and slope failures, every year. This suggests that there is a need for an early warning system to mitigate casualties and economic losses. Most of the studies on early warning systems have been carried out by predicting landslide-prone areas, but studies related to the prediction of landslide occurrence time points by the real-time monitoring of slope displacement are still insufficient. In this study, a displacement sensor and an Internet of Things (IoT) monitoring system were combined together, to monitor slope failure through cutting experiments of a real-scale model slope. Real-time monitoring of the slope movement was performed simultaneously via a low-cost, efficient, and easy-to-use IoT system. Based on the obtained displacement data, an inverse displacement analysis was performed. Finally, a slope instrumentation standard was proposed based on the slope of the inverse displacement for early evacuation before slope failure. SN - 1687-725X UR - https://doi.org/10.1155/2019/7570517 DO - 10.1155/2019/7570517 JF - Journal of Sensors PB - Hindawi KW - ER -